1.2kb/s低速率语音压缩编码技术及算法研究

Algorithms of 1.2kb/s vocoder based on the the clustering of Voicing/Unvoicing state transitions depending on the probability distribution Sinusoidal Excitation Linear Prediction (SELP) model is presented in this project. The techniques of multi-frame jointly vector quantization, the dynamic programming pitch estimation etc. are adopted.These techniques bring the vocoder not only high quality of the reconstructed speech, also robustness. The synthesis speech is clear and intelligent, as well as intelligent being in the presence of error bit rate. High quality speech coding at a very low bit-rate, such as at 1.2kbps is one of the most important research areas. It is applied widely, such as mobile communications, secure voice, satellite communication and IP phone etc.

研究高质量1.2kb/s语音编码算法，结合WI和SELP优点，建立新的语音分析合成模型，提高装绮问图だ问谋泶镄剩谎芯扛冉〉幕艏觳狻⑶遄且襞芯鲆约案侠淼闹〖洳问交惴āＱ兄瞥鼍哂凶灾靼嫒ǜ咧柿康?.2kb/s语音编码算法，对于我国政府保密通信、军事通信和其它应用的话音质量及安全性有重要意义。